Наследие выдающегося ученого (к 190-летию со дня рождения П.П. Семёнова-Тян-Шанского)
The Annual Report about cultural heritage was prepared for the first time in the history of the country. It helps to estimate all the quantity of cultural heritage objects – 125.5 thousands monuments of history and culture; 5.5 thousands ensembles with 18.9 thousands monuments and 1.6 thousands outstanding places. An addition there is 113 thousands of new revealed objects, which can be cultural objects in nearest future.
Condition of the cultural heritage object in all regions of Russian Federation was revealed, too. More than 54 percents of cultural monuments are in good condition, but 18 percents of them are in danger and need urgent restoration works. The wide spectrum of problems with cultural heritage objects discussed: undergoing of natural and anthropogenic pressure; protecting zone projecting, restoration of the objects, etc.
New trend in protection of the cultural heritage is the cultural-landscape point of view. It needs to increase the list of outstanding places in the country and to increase the role of museums-reserves as integrated instrument of protecting historical territories and local economy development.
The paper aims to discuss the multifaceted links between the marine environment of the Gulf of Finland and the representations of the large complex of cultural heritage related to the city of St. Petersburg. The paper is based on a spatial imaginary of Greater St. Petersburg as the cultural and technological unity of the city and adjacent waterscapes in the times of the Russian Empire. This concept is instrumental to see the historical links between the parts of the heritage complex that has by now disintegrated and has been separated by state borders.
The article contains analysis of the problems of historical and cultural heritage protection. The execution of powers for the protection of historical and cultural heritage of the Executive authorities of the Russian Federation and of the Subjects of Russia are considered.
Smoking is a problem, bringing signifi cant social and economic costs to Russiansociety. However, ratifi cation of the World health organization Framework conventionon tobacco control makes it possible to improve Russian legislation accordingto the international standards. So, I describe some measures that should be taken bythe Russian authorities in the nearest future, and I examine their effi ciency. By studyingthe international evidence I analyze the impact of the smoke-free areas, advertisementand sponsorship bans, tax increases, etc. on the prevalence of smoking, cigaretteconsumption and some other indicators. I also investigate the obstacles confrontingthe Russian authorities when they introduce new policy measures and the public attitudetowards these measures. I conclude that there is a number of easy-to-implementanti-smoking activities that need no fi nancial resources but only a political will.
One of the most important indicators of company's success is the increase of its value. The article investigates traditional methods of company's value assessment and the evidence that the application of these methods is incorrect in the new stage of economy. So it is necessary to create a new method of valuation based on the new main sources of company's success that is its intellectual capital.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.